CVE-2020-15212

描述

In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer. This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.

如何修補 CVE-2020-15212

要修補 CVE-2020-15212,請將受影響套件升級到下列已修補版本。

• —升級至 2.2.1 或更新版本
• —升級至 2.2.1 或更新版本
• —升級至 2.2.1 或更新版本

CVE-2020-15212 正在被利用嗎?

低 — EPSS 為 0.6%,目前沒有觀察到大規模利用活動。

受影響套件(3)

• >= 2.2.0, < 2.2.1
• >= 2.2.0, < 2.2.1
• >= 2.2.0, < 2.2.1

CVSS 分數

參考連結(11)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-15212
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-292.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-327.yaml